local stringx = require('pl.stringx')
local cmd = torch.CmdLine()
cmd:option("-params_file","../../Atten/save_t_given_s/params","")
cmd:option("-model_file","../../Atten/save_t_given_s/model1","")
cmd:option("-batch_size",128,"")
cmd:option("-gpu_index",1,"")
cmd:option("-save_model_path","save","")
cmd:option("-alpha",0.0001,"")
cmd:option("-train_file","../../data/t_given_s_train.txt","")
cmd:option("-dev_file","../../data/t_given_s_dev.txt","")
cmd:option("-test_file","../../data/t_given_s_test.txt","")
cmd:option("-gpu_index",1,"the index of GPU to use")
cmd:option("-readSequenceModel",true,"whether to load a pretrained seq2seq model")
cmd:option("-readFutureModel",false,"whether to load a pretrained lenght predictor model")
cmd:option("-FuturePredictorModelFile","","")

local params= cmd:parse(arg)
paths.mkdir(params.save_model_path)
print(params)
return params;
